NDLI: Analysis and taxonomy of column header categories for web tables

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Analysis and taxonomy of column header categories for web tables

Content Provider	ACM Digital Library
Author	Nagy, George Seth, Sharad Jandhyala, Ramana Krishnamoorthy, Mukkai
Abstract	We describe a component of a document analysis system for constructing ontologies for domain-specific web tables imported into Excel. This component automates extraction of the Wang Notation for the column header of a table. Using column-header specific rules for XY cutting we convert the geometric structure of the column header to a linear string denoting cell attributes and directions of cuts. The string representation is parsed by a context-free grammar and the parse tree is further processed to produce an abstract data-type representation (the Wang notation tree) of each column category. Experiments were carried out to evaluate this scheme on the original and edited column headers of Excel tables drawn from a collection of 200 used in our earlier work. The transformed headers were obtained by editing the original column headers to conform to the format targeted by our grammar. Forty-four original headers and their reformatted versions were submitted as input to our software system. Our grammar was able to parse and the extract Wang notation tree for all the edited headers, but for only four of the original headers. We suggest extensions to our table grammar that would enable processing a larger fraction of headers without manual editing.
Starting Page	81
Ending Page	88
Page Count	8
File Format	PDF
ISBN	9781605587738
DOI	10.1145/1815330.1815341
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-06-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Table ontology Parsing Wang notation Web tables Column-header grammar Conversion
Content Type	Text
Resource Type	Article

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